GUÍA de sociedad

Seguridad de la IA

AI security protects models, data, tools, and surrounding services from unauthorized access or manipulation.

2 minutos de lecturaÚltima actualización Part of the AI Policy & Society learning path

Descripción general

It includes ordinary software security and threats that target learning or model behavior. A secure design begins with the assets, adversaries, and trust boundaries of the actual application.

Conclusiones clave

  • Threat-model the full application.
  • Enforce permissions outside the model.
  • Retest controls across system changes.

Buceo profundo

Identify what needs protection: private inputs, training data, model artifacts, credentials, connected accounts, and external actions. Record who can influence each input and what an attacker could gain from a failure. A public chatbot and an internal agent with write access have different threat models. Threats can affect different stages. Poisoned training material can alter learned behavior; adversarial inputs can manipulate predictions; untrusted retrieved content can redirect a tool-using application. Model output can also become dangerous when inserted into a database query, webpage, or command without appropriate handling. Apply controls at the software boundary. Enforce authorization in code, keep secrets out of model-visible context where possible, restrict tool scope, and validate outputs before use. A prompt asking a model to behave safely cannot replace account isolation or permission checks. Test representative failure paths in an authorized environment and maintain an incident process. Log enough information to investigate without collecting unnecessary sensitive content. Evaluate controls after changes to the model, retrieval sources, tools, and dependencies. Describe residual risk honestly; no single filter establishes complete protection.

Información técnica

A model refusing one malicious prompt does not prove that a system is secure. Different inputs, tools, modalities, and component boundaries can create distinct failure paths.

Locate the security boundary

  1. Imagine an assistant searching a private document store for a signed-in user.
  2. Apply the user’s access filter in the retrieval service before documents enter the model context.
  3. Test with a document belonging to a different account and verify that neither its contents nor identifying metadata appear in the result.

This defensive, hypothetical test checks authorization independently of the model’s willingness to follow instructions.

Impacto Estratégico

Riesgo y seguridad

Los daños catastróficos y cotidianos de la IA dependen de quién comprende los riesgos y quién puede actuar.

Decisiones más claras

La alfabetización pública y profesional determina si es políticamente posible una política de seguridad sólida.

Cutting through hype

Las explicaciones claras reducen la captación por la exageración, las relaciones públicas de laboratorio y el vago teatro de ética.

Implementación en el mundo real

Check that one account cannot retrieve another account’s documents.

Validate generated fields before using them in a database operation.

Riesgos y barandillas

Tratar el riesgo existencial como ciencia ficción mientras que la capacidad se agrava.

Confundir la seguridad del producto superficial con la alineación en condiciones de alta autonomía.

Dejando a las audiencias que no hablan inglés ni a expertos solo con fuentes de baja calidad.

Hoja de ruta de implementación

1

Separe los riesgos de daños al producto, mal uso y pérdida de control/desalineación.

2

Pregunte qué evidencia cambiaría su opinión sobre los plazos y la gravedad.

3

Prefiera fuentes primarias y evaluaciones concretas a afirmaciones de marketing.

4

Identifique un camino de acción: carrera, política, financiamiento o habilidades, no solo concientización.

Fuentes y lecturas adicionales

Sigue explorando

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Seguridad de la IA

Preguntas frecuentes

Is a strong system prompt enough to secure an assistant?

No. Authentication, authorization, input and output handling, tool limits, and incident response remain necessary parts of the application.